title: A frequency domain analysis of respiratory variations in the seismocardiogram signal.
abstract: The seismocardiogram (SCG) signal traditionally measured using a chest-mounted accelerometer contains low-frequency (0-100 Hz) cardiac vibrations that can be used to derive diagnostically relevant information about cardiovascular and cardiopulmonary health. This work is aimed at investigating the effects of respiration on the frequency domain characteristics of SCG signals measured from 18 healthy subjects. Toward this end, the 0-100 Hz SCG signal bandwidth of interest was sub-divided into 5 Hz and 10 Hz frequency bins to compare the spectral energy in corresponding frequency bins of the SCG signal measured during three key conditions of respiration--inspiration, expiration, and apnea. Statistically significant differences were observed between the power in ensemble averaged inspiratory and expiratory SCG beats and between ensemble averaged inspiratory and apneaic beats across the 18 subjects for multiple frequency bins in the 10-40 Hz frequency range. Accordingly, the spectral analysis methods described in this paper could provide complementary and improved classification of respiratory modulations in the SCG signal over and above time-domain SCG analysis methods.
authors.forename: Keya
authors.initials: K
authors.lastname: Pandia
authors.forename: Omer T
authors.initials: OT
authors.lastname: Inan
authors.forename: Gregory T A
authors.initials: GT
authors.lastname: Kovacs
mesh_terms: D061725:Accelerometry / Q000295:instrumentation*; D000328:Adult; D001049:Apnea / Q000503:physiopathology; D005260:Female; D006334:Heart Function Tests / Q000295:instrumentation / Q000379:methods; D006801:Humans; D008297:Male; D012119:Respiration; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013057:Spectrum Analysis; D055815:Young Adult